ABSTRACT

OBJECTIVE

To identify the prevalence and factors associated with common mental disorders among farmers living in a medium-sized municipality in Northeastern Brazil between 2019 and 2020.

METHODS

Trained interviewers applied the standardized questionnaire in 450 participants. Sociodemographic, health, income and working characteristics were assessed. The screening of common mental disorders was performed using the Self-Reporting Questionaire, with the cutoff point ≥ 7 for women and ≥ 5 for men. Poisson regression with robust estimation was applied to verify the prevalence ratios in the bivariate and multivariate analysis.

RESULTS

The prevalence of common mental disorders among farmers was 55.1% (95%CI: 50.4–59.6). The variables that remained significant and associated with common mental disorders were: men (PR = 1.7), > 60 years old (PR = 0.5), poor or very poor self-assessment of health (PR = 1.4), previous mental health treatment (PR = 1.2), alcohol abuse (PR = 1.2) and loss of production (PR = 1.3).

CONCLUSION

These results indicate that common mental disorders are associated with individual factors and with the farmers’ context of life and work, which shows the importance of social, economic and health services support to this group of workers.

Rural Population; Mental Disorders, epidemiology; Risk Factors; Socioeconomic Factors

INTRODUCTION

Common mental disorders (CMD) comprise the presence of different symptoms for at least seven days, especially irritation, fatigue, anxiety, difficulty to concentrate and sleep disorders ¹1. Lucchese R, Silva PCD, Denardi TC, Felipe RL, Vera I, Castro PA. Transtorno mental comum entre álcool e abusadores de drogas: um estudo transversal. Texto contexto – enferm. 2017; 26 (1): e4480015. https://doi.org/10.1590/0104-07072017004480015
https://doi.org/10.1590/0104-07072017004... , which can cause significant functional disability with psychosocial impairments and physical complaints ²2. Santos GBV, Alves MCGP, Goldbaum M, Cesar CLG, Gianini RJ. Prevalência de transtornos mentais comuns e fatores associados em moradores da área urbana de São Paulo, Brasil. Cad. Saúde Pública, 2019; 35(11): e00236318. https://doi.org/10.1590/0102-311X00236318
https://doi.org/10.1590/0102-311X0023631... . Besides, CMDs are considered one of the most prevalent psychic morbidities worldwide ³3. Goldberg D & Huxley P. Common mental disorders: a bio-social model. London; New York: Tavistock; Routledge, 1992. 194p. .

CMDs are associated with poor prognosis of some morbidities, high effect on health costs and economic productivity ⁴4. Organização Mundial da Saúde (OMS). Classificação Estatística Internacional de Doenças e Problemas Relacionados à Saúde: CID-10 Décima revisão. Trad de Centro Colaborador da OMS para a Classificação de Doenças em Português. Vol 2, 3 ed. São Paulo: EDUSP, 1996. . The most affected groups are young people, women, and single people. The main risk factors for these disorders are low socioeconomic status, psychological diseases, poor physical and reproductive health, and gender disadvantage ⁵5. Engidaw NA, Abdu Z, Chinani I. Prevalence and associated factors of common mental disorders among residents of Illu Ababore zone, southwest Ethiopia: a cross-sectional study. Int J Ment Health Syst, 2020; 14 (64): https://doi.org/10.1186/s13033-020-00394-3
https://doi.org/10.1186/s13033-020-00394... , representing a great public health problem due to its high prevalence and severe effects on personal and family well-being, work and use of health care services ⁶6. Silva PAS, Rocha SV, Santos LB, Santos CA, Amorim CR, Vilela ABA. Prevalência de transtornos mentais comuns e fatores associados entre idosos de um município do Brasil. Cien Saude Colet, 2018; 23(2): 639-646. https://doi.org/10.1590/1413-81232018232.12852016
https://doi.org/10.1590/1413-81232018232... .

CMDs are considered the most prevalent mental suffering worldwide and it is predicted that by 2030 they will be among the major disabling causes ⁷7. Moreira RMM, Oliveira EN, Lopes RE, Lopes MVO, Félix TA, Oliveira LS. Mental disorder and suicide risk in psychoactive substance users: an integrative review. SMAD, Rev Eletrônica Saúde Mental Álcool Drog. 2020; 16(1): 1-10. https://dx.doi.org/10.11606/issn.1806-6976.smad.2020.158433
https://dx.doi.org/10.11606/issn.1806-69... . A systematic review with metanalysis, which analyzed 174 cross-sectional studies from developed and developing countries, showed that one out of five adults (17.6%) experienced a common mental disorder in the previous 12 months and 29.2% had this experience during life ⁸8. Steel Z et al. The global prevalence of common mental disorders: a systematic review and meta-analysis 1980-2013. Int J Epidemiol, 2014; 43(2): 476-493. https://dx.doi.org/10.1093/ije/dyu038
https://dx.doi.org/10.1093/ije/dyu038... . In Brazil, recent estimates have shown that CMDs are, respectively, the fifth and sixth causes of years of life with disability ⁹9. Marinho F, de Azeredo Passos VM, Malta DC, França EB, Abreu DM, Araújo VE, Naghavi M. Burden of disease in Brazil, 1990–2016: a systematic subnational analysis for the Global Burden of Disease Study 2016. The Lancet, 2018; 392(10149): 760-775. https://doi.org/10.1016/S0140-6736 (18)31221-2
https://doi.org/10.1016/S0140-6736 (18)3... . The prevalence of CMD ranges from 20% to 56% in the Brazilian adult population, affecting mainly women and workers ²2. Santos GBV, Alves MCGP, Goldbaum M, Cesar CLG, Gianini RJ. Prevalência de transtornos mentais comuns e fatores associados em moradores da área urbana de São Paulo, Brasil. Cad. Saúde Pública, 2019; 35(11): e00236318. https://doi.org/10.1590/0102-311X00236318
https://doi.org/10.1590/0102-311X0023631... . The prevalence of these disorders ranges from 23.3% to 66.9% in rural areas ⁶6. Silva PAS, Rocha SV, Santos LB, Santos CA, Amorim CR, Vilela ABA. Prevalência de transtornos mentais comuns e fatores associados entre idosos de um município do Brasil. Cien Saude Colet, 2018; 23(2): 639-646. https://doi.org/10.1590/1413-81232018232.12852016
https://doi.org/10.1590/1413-81232018232... .

Regarding farmers and rural populations, the difficulty to access health care services and the high cost of psychiatric treatments contribute to some mental health-related care being neglected ¹⁰10. Quindere PHD, Jorge MSA, Nogueira MSL, Costa LFA, Vasconcelo MGF. Acessibilidade e resolubilidade da assistência em saúde mental: a experiência do apoio matricial. Ciência & Saúde Coletiva, 2013; 18(7): 2157-2166. . Besides, stressful characteristics of the work environment, such as long distances, isolation, difficulty to develop another work activity, the decline of the economy, irregular income and exposure to pesticides may be associated with the development of these disorders ¹¹11. Campos Ÿ, Silva DVSP, Mello SMC, Barros UO. Exposure to pesticides and mental disorders in a rural population of Southern Brazil. Neurotoxicology, 2016; 56: 7-16. https://doi.org/10.1016/j.neuro.2016.06.002
https://doi.org/10.1016/j.neuro.2016.06.... . More specifically, studies have analyzed the association between the prevalence of CMD and the socioeconomic conditions of certain human groups ¹²12. Dimenstein M, Macedo JPS, Leite JDC, Silva Monique PR. Iniquidades Sociais e Saúde Mental no Meio Rural. Psico-USF, 2017; 22(3): 541-553. https://doi.org/10.1590/1413-82712017220313
https://doi.org/10.1590/1413-82712017220... .

The Brazilian rural population has as historical mark a complex picture of inequalities and inaccessibility to many public policies. The lack of infrastructure, the typical problems of lack of social development, the high poverty rates, poor working conditions and education, affect the rural population’s mental health. However, few studies address the theme on a national and international scale ¹³13. Macedo JP, Dimenstein M, Silva BÍDBDM, Sousa HRD, Costa APAD. Apoio social, transtorno mental comum e uso abusivo de álcool em assentamentos rurais. Trends in Psychology, 2018; 26(3): 1123-1137. https://doi.org/10.9788/TP2018.3-01Pt
https://doi.org/10.9788/TP2018.3-01Pt... .

The municipality of Caicó is in the Seridó region of the state of Rio Grande do Norte (RN), which is a region naturally susceptible to the arid weather, with periodic droughts, irregular and sparse rains, water deficiency, besides the presence of desertification and salinization processes. Family farmers from Seridó face a situation of socioeconomic and environmental vulnerability due to historical processes of exclusion of family farming in Northeastern Brazil and the state of Rio Grande do Norte, associated with strict environmental conditions, typical of the semi-arid area ¹⁴14. Andrade AJP, Souza CR, Silva NM. A vulnerabilidade e a resiliência da agricultura familiar em regiões semiáridas: o caso do Seridó Potiguar. CAMPO-TERRITÓRIO: revista de geografia agrária, 2013; 8(15): 1-30. . Mental health issues require special attention in this municipality because, according to a study, the municipality of Caicó had a suicide rate of 15.8/100,000 inhabitants between 2005 and 2007, occupying the third place among the 20 Brazilian cities with at least 50,000 inhabitants with the highest suicide coefficients ¹⁵15. Botega N, Bertolote JM, Hetem LA, Bessa MA. Prevenção do suicídio. Debates: psiquiatria hoje, 2010; 2(1): 10-20. .

Considering the situation of exclusion experienced by family farming workers, studies that offer relevant data to implement prevention strategies at primary and secondary levels are needed, as well as health promotion to help the planning of interventions and healthy practices focused on mental health in rural communities.

We aimed to estimate the prevalence and factors associated with CMD in farmers in the municipality of Caicó-RN to contribute to the advancement of mental health research in rural populations, specifically among farmers.

METHODS

This is a cross-sectional study, with data collected from August 2019 to March 2020, from farmers in the municipality of Caicó-RN. The municipality of Caicó is in the micro-region of Seridó, in the Central Potiguar mesoregion, 283 km from the state capital of Rio Grande do Norte. The estimated population for 2019 is 67,952 people and the population density is 55.31 inhabitants/km ²2. Santos GBV, Alves MCGP, Goldbaum M, Cesar CLG, Gianini RJ. Prevalência de transtornos mentais comuns e fatores associados em moradores da área urbana de São Paulo, Brasil. Cad. Saúde Pública, 2019; 35(11): e00236318. https://doi.org/10.1590/0102-311X00236318
https://doi.org/10.1590/0102-311X0023631... . It has a Human Development Index of 0.710, a predominance of the Caatinga biome and its main economic activities are livestock, family farming and services ¹⁷17. Instituto Brasileiro de geografia e Estatística (IBGE) (2020). Brasil Rio Grande do Norte. Caicó. Available from: https://cidades.ibge.gov.br/brasil/rn/caico/panorama
https://cidades.ibge.gov.br/brasil/rn/ca... ( Figure ).

The studied population consisted of farmers registered in the Rural Workers Union of the municipality of Caicó-RN. The inclusion criteria for this study were: being registered in the union and aged between 18 and 80 years old, which constituted a population of 2,000 people.

A 19.7% prevalence of CMD was considered to estimate the sample size for finite populations ¹⁸18. Harding TW, De Arango MV, Baltazar J, Climent CE, Ibrahim HHA, Ladrido-Ignacio L, et al. Mental disorders in primary health care: a study of their frequency and diagnosis in four developing countries. Psychol Med 1980; 10: 231-41. . Considering 4% absolute margin of error, 30% non-response rate, 19.7% estimated proportion of the event and finite population of 2,000 farmers, the estimated sample represented 450 farmers. The participants were allocated by a simple random sampling in which all elements of the population were included (2,000 individuals). The interviews, conducted by previously trained interviewers, occurred at home, in a reserved place, after the participant’s consent.

The dependent variable was the presence of CMD, analyzed by the SRQ-20 questionnaire (Self-Reporting Questionaire), which was originally developed in 1980 ¹⁸18. Harding TW, De Arango MV, Baltazar J, Climent CE, Ibrahim HHA, Ladrido-Ignacio L, et al. Mental disorders in primary health care: a study of their frequency and diagnosis in four developing countries. Psychol Med 1980; 10: 231-41. and validated over the years in many samples of the Brazilian population by many researchers, who reported 83% sensitivity and 80% specificity of this instrument ¹⁹19. Palácios M, Jardim S, Ramos A, Silva Filho JF. Validação do Self-Report Questionnaire-20 (SRQ-20) numa população de trabalhadores de um banco estatal no Rio de Janeiro-Brasil. In: Silva Filho JF, Jardim S., editor. A danação do trabalho – organização do trabalho e sofrimento psíquico. Rio de Janeiro: Te Corá; 1998. p. 225-41. . The questionnaire addresses the presence of physical and psychic symptoms in the last 30 days. In this study, cutoff points ≥ 5 for men and ≥ 7 for women were used to classify the presence of CMD ²²22. Mari JJ, Williams PA. Validity study of a psychiatric screening questionnaire (SRQ-20) in primary care in the city of Sao Paulo. Br J Psychiatry, 1986; 148: 23-26. , ²³23. Scazufca M, Menezes PR, Vallada H, Araya R. Validity of the self-reporting questionnaire-20 in epidemiological studies with older adults. Social psychiatry and psychiatric epidemiology, 2009; 44(3): 247. https://doi.org/10.1007/s00127-008-0425-y
https://doi.org/10.1007/s00127-008-0425-... .

The independent variables were grouped into three categories: (1) sociodemographic: gender (men; women); age group in years (18–39, 40–59 and ≥ 60); race/skin color (White and other, Mixed-race, Black); marital status (married; single/divorced; widower/widow); religious (yes; no); number of residents in the household (0–2; 3–4; ≥ 5); access to sanitation - garbage collection and water from the public network (yes; no); schooling (without schooling, up to elementary school, up to high school, up to higher education); and area of residence (urban area; rural area). (2) health aspects: self-assessment of health (very good/good; regular; bad/very bad); diagnosis of mental disorders in the family (yes; no); have already undergone mental health treatment (yes; no); smoking habit (yes; no); alcohol abuse by the CAGE scale (Cut down, Annoyed by criticism, Guilty and Eye-opener) (yes; no); drug use (yes; no); if sought and managed to get health care in the last 12 months (yes; no); if the family is assisted by the community health agent (yes; no). (3) income and work: employed (yes; no); individual monthly income (no income; less than a minimum wage; one minimum wage; above one minimum wage); agrarian indebtedness with banks, relatives or loan sharks (yes; no); access to a government credit program for agriculture (yes; no); partially or totally lost production in the last two years (yes; no); have contact with pesticides (yes; no); use personal protective equipment (PPE) when handling pesticides (yes; no); needed hospital care due to poisoning (yes; no); number of working hours per day (< 6h; > 6h).

These data were collected from an adapted version of the sociodemographic-environmental questionnaire elaborated by the laboratory of strategic analysis of the Geology department of the Universidade Federal do Rio Grande do Norte (UFRN) ²⁴24. Costa MGSG. Gênero, trabalho e saúde mental entre trabalhadoras rurais assentadas na região do Mato Grande Potiguar. 2014. 169 f. Dissertação (Mestrado em Psicologia, Sociedade e Qualidade de Vida) – Universidade Federal do Rio Grande do Norte, Natal, 2014. .

Alcohol abuse was analyzed by the CAGE questionnaire. This questionnaire consists of four questions: (1) Have you ever felt that you should decrease the amount of drink or stop drinking? (2) Do people annoy you because they criticize your way of drinking? (3) Do you feel guilty about the way you usually drink? (4) Do you usually drink in the morning to reduce nervousness or hangover? Alcohol abuse was confirmed in case of affirmative answer to at least two questions in the questionnaire.

A descriptive analysis of the studied participants was performed by absolute and relative frequencies. The chi-square test was applied to compare the proportions of the outcome between the categories of each variable. Poisson regression with robust variance was used to analyze the associated factors and estimate prevalence ratios (PR). The multiple analysis was constructed based on the set of variables that showed a p value < 0.20 in the bivariate analysis. The blocks of characteristics of the variables were adopted as entry criterion in the model, first the variables of sociodemographic aspects, followed by health characteristics and finally those of income and work. The final model was composed of the variables that remained significant in the model (p < 0.05). The data were analyzed using the Stata 13 statistical package (StataCorp LP, College Station, USA), with 5% significance level.

This study was approved by the research ethics committee of Hospital Universitário Onofre Lopes (HUOP), Universidade Federal do Rio Grande do Norte (UFRN), under the registration CAAE 15532919.5.0000.5292, on July 5, 2019, and is aligned with the guidelines for research in human beings in Brazil, according to Resolution 466 of December 2012. All participants signed the informed consent form before the interviews.

RESULTS

Out of 450 farmers included in the study, 58.9% are men, 52.8% declared themselves as Black (Black and Mixed-race), 41.3% are in the age group of 40–59 years old, 86% have up to elementary school, 76% do not have access to basic sanitation, 52% evaluate their health as good or very good, 94.7% are covered by the Estratégia Saúde da Família (ESF - Family Health Strategy), 94% have an income of up to one monthly minimum wage, 47.7% have access to credit, 43.7% have debts, 59.7% have already lost production and 58.67% have no contact with pesticides. The prevalence of smoking was 27% and alcohol abuse was 32%.

The prevalence of CMD among farmers was 55.1% (95%CI: 50.4–59.6). The bivariate analysis showed an association between the outcome and men (PR = 1.7; 95%CI: 1.3–2.2), > 60 years old (PR = 0.7; 95%CI: 0.4–0.9), alcohol abuse (PR = 1.6; 95%CI: 1.3–2.1), having a diagnosis of mental disorder in the family (PR = 1.4; 95%CI 1.0–1.8), not having access to credit (PR = 0.7; 95%CI: 0.5–0.9) and have contact with pesticides (PR = 1.3; 95%CI: 1.0–1.7) (Tables 1, 2 and 3).

Some variables with p < 0.200 in the bivariate analysis were tested in the multivariate model: number of residents in the household, having undergone mental health treatment, smoking habit, access to health care services, having debts and loss of production.

In the multivariate model, the variables that remained significant and associated with CMD were: men (PR = 1.7), > 60 years old (PR = 0.5), having poor or very poor self-assessment of health (PR = 1.4), previous mental health treatment (PR = 1.2), alcohol abuse (PR = 1.2) and having had loss of production (PR = 1.3) (Table 04).

DISCUSSION

Our study identified a high prevalence of CMD in farmers in the municipality of Caicó, associated with sociodemographic, work and health factors, such as gender, age group, self-assessment of health status, alcohol abuse, mental health treatment and loss of agricultural production. The studied population is mostly male, people > 40 years old, married, with low schooling, low income, no access to basic sanitation and with prevalence of alcohol abuse > 30%. The interviews indicated that most of these farmers have difficulties to obtain treated water, health care services, access to rural credit and land ownership, besides being in debt and with a history of loss of agricultural production.

We emphasize the low schooling level in the studied population, since 86.89% of the subjects have up to elementary school. The low schooling profile observed among workers is similar to the profile of farmers found in studies conducted in other Brazilian states ²⁵25. Furtado FDS, Saldanha AAW, Moleiro CMMM, Silva JD. Transtornos mentais comuns em Mulheres de Cidades Rurais: prevalência e variáveis correlatas, Saúde e Pesquisa, Maringá (PR), 2019; 12(1): 129-140. https://doi.org/10.17765/2176-9206.2019v12n1p129-140
https://doi.org/10.17765/2176-9206.2019v... , ²⁶26. Pinto LLT, Rocha SV, Viana HPS, Rodrigues WKM, Vasconcelos LRC. Nível de atividade física habitual e transtornos mentais comuns entre idosos residentes em áreas rurais. Rev. Bras. Geriatr. Gerontol., 2014; 17(4):819-828. https://doi.org/10.1590/1809-9823.2014.13204
https://doi.org/10.1590/1809-9823.2014.1... . Although our study did not show association between CMD and schooling, we emphasize that schooling is directly related with mental health because it influences life choices, aspirations, opportunities, self-esteem and acquisition of new knowledge, which can contribute to healthier attitudes and behaviors ²⁷27. Soares PSM, Meucci RD. Epidemiologia dos transtornos mentais comuns entre mulheres na zona rural de Rio Grande, RS, Brasil. Ciência & Saúde Coletiva, 2020; 25(8): 3087-3095. https://doi.org/10.1590/1413-81232020258.31582018
https://doi.org/10.1590/1413-81232020258... .

Socioeconomic variables such as poverty and precarious working conditions, which are characteristics of most rural contexts in the Northeast, tend to contribute to the higher risk of developing CMD among individuals living and working in rural areas, showing the need for greater attention and care to this population’s mental health ²⁵25. Furtado FDS, Saldanha AAW, Moleiro CMMM, Silva JD. Transtornos mentais comuns em Mulheres de Cidades Rurais: prevalência e variáveis correlatas, Saúde e Pesquisa, Maringá (PR), 2019; 12(1): 129-140. https://doi.org/10.17765/2176-9206.2019v12n1p129-140
https://doi.org/10.17765/2176-9206.2019v... . The social vulnerability of rural families in the municipality of Caicó is considered moderate, but economic and technological vulnerabilities are considered very high ²⁸28. Pauli FF, Barbosa MP. Territórios Digitais: as Geotecnologias no Estudo da Construção Social dos Riscos e Vulnerabilidades nos Municípios de Caicó-RN e Medianeira-PR. Revista Brasileira de Geografia Física, 2013; 6(6): 1552-1565. .

Our study showed a higher prevalence of CMD than that found in other rural locations, such as the study conducted with older adults living in rural areas of the municipality of Jequié-BA (47.4%) ²⁶26. Pinto LLT, Rocha SV, Viana HPS, Rodrigues WKM, Vasconcelos LRC. Nível de atividade física habitual e transtornos mentais comuns entre idosos residentes em áreas rurais. Rev. Bras. Geriatr. Gerontol., 2014; 17(4):819-828. https://doi.org/10.1590/1809-9823.2014.13204
https://doi.org/10.1590/1809-9823.2014.1... , women from rural areas of the municipality of Rio Grande-RS (36.4%) ²⁷27. Soares PSM, Meucci RD. Epidemiologia dos transtornos mentais comuns entre mulheres na zona rural de Rio Grande, RS, Brasil. Ciência & Saúde Coletiva, 2020; 25(8): 3087-3095. https://doi.org/10.1590/1413-81232020258.31582018
https://doi.org/10.1590/1413-81232020258... and rural communities of Atibaia-SP (23.36%) ²⁹29. Lima PJP. Avaliação de transtornos mentais comuns em comunidades rurais em Atibaia/SP-Brasil. Cadernos Brasileiros de Saúde Mental, 2015; 7(15): 101-121. Available from: https://periodicos.ufsc.br/index.php/cbsm/article/view/68545
https://periodicos.ufsc.br/index.php/cbs... . In individuals living in rural communities in other countries, the prevalence of CMD assessed by the SRQ-20 was 27.2% in Southeastern Ethiopia ⁵5. Engidaw NA, Abdu Z, Chinani I. Prevalence and associated factors of common mental disorders among residents of Illu Ababore zone, southwest Ethiopia: a cross-sectional study. Int J Ment Health Syst, 2020; 14 (64): https://doi.org/10.1186/s13033-020-00394-3
https://doi.org/10.1186/s13033-020-00394... and 22.8% in women from rural areas in India ³⁰30. Soni A, Fahey N, Byatt N, Prabhakaran A, Simas TAM, Vankar J, Nimbalkar, S. Association of common mental disorder symptoms with health and healthcare factors among women in rural western India: results of a cross-sectional survey. BMJ open, 2016; 6: e010834. http://dx.doi.org/10.1136/bmjopen-2015-010834
http://dx.doi.org/10.1136/bmjopen-2015-0... .

Although these studies used the SRQ-20 as a diagnostic instrument, the cutoff point adopted to detect CMD differ in the studies of different researchers, which may partially explain the differences observed in the prevalence of mental disorders between countries and within the same country. The researchers compared the results with studies in urban areas due to the lack of validation of the SRQ-20 for the rural population in Brazil, adopting the same cutoff score and methodology ²⁸28. Pauli FF, Barbosa MP. Territórios Digitais: as Geotecnologias no Estudo da Construção Social dos Riscos e Vulnerabilidades nos Municípios de Caicó-RN e Medianeira-PR. Revista Brasileira de Geografia Física, 2013; 6(6): 1552-1565. . Besides, the differences in the time of evaluation of symptoms and the characteristics of each rural population under study may contribute to this variability ⁶6. Silva PAS, Rocha SV, Santos LB, Santos CA, Amorim CR, Vilela ABA. Prevalência de transtornos mentais comuns e fatores associados entre idosos de um município do Brasil. Cien Saude Colet, 2018; 23(2): 639-646. https://doi.org/10.1590/1413-81232018232.12852016
https://doi.org/10.1590/1413-81232018232... . The application of the SRQ-20 has shown good performance in specific populations, such as rural populations ⁵5. Engidaw NA, Abdu Z, Chinani I. Prevalence and associated factors of common mental disorders among residents of Illu Ababore zone, southwest Ethiopia: a cross-sectional study. Int J Ment Health Syst, 2020; 14 (64): https://doi.org/10.1186/s13033-020-00394-3
https://doi.org/10.1186/s13033-020-00394... , ²⁶26. Pinto LLT, Rocha SV, Viana HPS, Rodrigues WKM, Vasconcelos LRC. Nível de atividade física habitual e transtornos mentais comuns entre idosos residentes em áreas rurais. Rev. Bras. Geriatr. Gerontol., 2014; 17(4):819-828. https://doi.org/10.1590/1809-9823.2014.13204
https://doi.org/10.1590/1809-9823.2014.1... , ²⁷27. Soares PSM, Meucci RD. Epidemiologia dos transtornos mentais comuns entre mulheres na zona rural de Rio Grande, RS, Brasil. Ciência & Saúde Coletiva, 2020; 25(8): 3087-3095. https://doi.org/10.1590/1413-81232020258.31582018
https://doi.org/10.1590/1413-81232020258... , ²⁹29. Lima PJP. Avaliação de transtornos mentais comuns em comunidades rurais em Atibaia/SP-Brasil. Cadernos Brasileiros de Saúde Mental, 2015; 7(15): 101-121. Available from: https://periodicos.ufsc.br/index.php/cbsm/article/view/68545
https://periodicos.ufsc.br/index.php/cbs... , ³⁰30. Soni A, Fahey N, Byatt N, Prabhakaran A, Simas TAM, Vankar J, Nimbalkar, S. Association of common mental disorder symptoms with health and healthcare factors among women in rural western India: results of a cross-sectional survey. BMJ open, 2016; 6: e010834. http://dx.doi.org/10.1136/bmjopen-2015-010834
http://dx.doi.org/10.1136/bmjopen-2015-0... .

Regarding gender, the prevalence of CMD was higher among men, which differs from the literature. Overall, women are more affected by CMD, and the factors associated with this higher prevalence are > 50 years old, separated/divorced, with low schooling and income ³⁰30. Soni A, Fahey N, Byatt N, Prabhakaran A, Simas TAM, Vankar J, Nimbalkar, S. Association of common mental disorder symptoms with health and healthcare factors among women in rural western India: results of a cross-sectional survey. BMJ open, 2016; 6: e010834. http://dx.doi.org/10.1136/bmjopen-2015-010834
http://dx.doi.org/10.1136/bmjopen-2015-0... . However, due to the strong relationship that men have with work, any failure can affect their social and personal context, generating emotional/psychological problems ³¹31. Santos EG, Siqueira MM. Prevalência dos transtornos mentais na população adulta brasileira: uma revisão sistemática de 1997 a 2009. Jornal Brasileiro de Psiquiatria, 2010; 59(3): 238-246. https://doi.org/10.1590/S0047-20852010000300011
https://doi.org/10.1590/S0047-2085201000... .

The variable of access to health care services did not show statistical significance in our final model, but we emphasize the male representations of health-illness, care and the search for health care. The high prevalence of CMD in men may be related to the barriers to the male presence in health care services, which connects to the gender identity structure (the notion of invulnerability, the search for risk as a value), thus, hindering the verbalization of their health needs during care ³²32. Gomes R, Nascimento EF, Araújo FC. Por que os homens buscam menos os serviços de saúde do que as mulheres? As explicações de homens com baixa escolaridade e homens com ensino superior. Cad. de saúde pública, 2007; 23(3): 565-574. https://doi.org/10.1590/S0102-311X2007000300015
https://doi.org/10.1590/S0102-311X200700... .

In rural cities, especially in the Northeast region of Brazil, there are few services directed to mental health care and less resources to diagnose and treat mental disorders. For lighter cases, treatment is usually limited to medicine care or referral to specialists, which shows the deficiencies in the local mental health care network and the difficulties of primary health care providers to deal with these forms of suffering ²⁵25. Furtado FDS, Saldanha AAW, Moleiro CMMM, Silva JD. Transtornos mentais comuns em Mulheres de Cidades Rurais: prevalência e variáveis correlatas, Saúde e Pesquisa, Maringá (PR), 2019; 12(1): 129-140. https://doi.org/10.17765/2176-9206.2019v12n1p129-140
https://doi.org/10.17765/2176-9206.2019v... .

Despite the Brazilian Family Health Strategy innovations regarding structure and work process when compared to primary care and conventional health, it has not yet been able to transform mental health care, such as greater and better availability of professionals and resources, the structuring of own flows for mental health, psychosocial listening, the reception of otherness and integrated networking ³³33. Carneiro VSM, Adjuto RNP, Alves KAP. Saúde do homem: identificação e análise dos fatores relacionados à procura, ou não, dos serviços de atenção primária. Arq. Cienc. Saúde UNIPAR, 2019; 23(1): 35-40. .

In our study, the presence of CMD was associated with the previous use of mental health care services. Studies show that individuals who live in rural areas and who have mental disorders usually claim not to seek health care services due to geographic inaccessibility and unsatisfactory reception experiences ¹²12. Dimenstein M, Macedo JPS, Leite JDC, Silva Monique PR. Iniquidades Sociais e Saúde Mental no Meio Rural. Psico-USF, 2017; 22(3): 541-553. https://doi.org/10.1590/1413-82712017220313
https://doi.org/10.1590/1413-82712017220... , ³⁴34. Arruda NM, Maia AG, Alves LC. Desigualdade no acesso à saúde entre as áreas urbanas e rurais do Brasil: uma decomposição de fatores entre 1998 a 2008. Cad. Saúde Pública, 2018; 34(6): e00213816. https://doi.org/10.1590/0102-311X00213816
https://doi.org/10.1590/0102-311X0021381... . However, the high prevalence of mental disorders such as alcohol abuse ³⁵35. Alves RM, Santos EGO, Barbosa IR. Abuse of alcohol among farmers: Prevalence and associated factors. PLoS ONE, 2021; 16(8): e0254904. https://doi.org/10.1371/journal.pone.0254904
https://doi.org/10.1371/journal.pone.025... and suicidal behavior ³⁶36. Santos EGO, Queiroz PR, Nunes ADS, Vedana KGG, Barbosa IR. Factors Associated with Suicidal Behavior in Farmers: A Systematic Review. Int. J. Environ. Res. Public Health, 2021; 18(12): 6522; https://doi.org/10.3390/ijerph18126522
https://doi.org/10.3390/ijerph18126522... in populations living in rural areas may explain the greater demand for these services.

We emphasize that the health network of the municipality of Caicó consists of services of different levels of complexity of health care. In the field of mental health, the municipality has a Psychosocial Care Center III, a Psychosocial Care Center Alcohol and Drugs, and Therapeutic Residences ³⁷37. Araújo AM. Perfil de usuários com comportamento suicida e estratégias de educação permanente em saúde no município de Caicó-RN. 2019. 84f. Dissertação (Mestrado Profissional em Educação, Trabalho e Inovação em Medicina) – Escola Multicampi de Ciências Médicas do Rio Grande do Norte, Universidade Federal do Rio Grande do Norte, Natal, 2019. . The higher prevalence of previous mental health-related treatments among those with CMD may be an indicator of mental health care provision.

Regarding self-assessment of health status, studies ³⁰30. Soni A, Fahey N, Byatt N, Prabhakaran A, Simas TAM, Vankar J, Nimbalkar, S. Association of common mental disorder symptoms with health and healthcare factors among women in rural western India: results of a cross-sectional survey. BMJ open, 2016; 6: e010834. http://dx.doi.org/10.1136/bmjopen-2015-010834
http://dx.doi.org/10.1136/bmjopen-2015-0... , ³⁸38. Duran B, Sanders M, Skipper B, Waitzkin H, Malcoe LH, Paine S, Yager J Prevalence and correlates of mental disorders among Native American women in primary care. Am J Public Health, 2004; 94(1):71-77. https://doi.org/10.2105/AJPH.94.1.71
https://doi.org/10.2105/AJPH.94.1.71... show that individuals with CMD have a low assessment of their own health, which corroborates our results. Overall, these individuals have other comorbidities associated with CMD, which can cause loss of quality of life and influence the self-assessment of their health status ³⁹39. Senicato C, Azevedo RCS, Barros MBA. Transtorno mental comum em mulheres adultas: identificando os segmentos mais vulneráveis. Cien Saude Colet, 2018; 23(8): 2543-2554. https://doi.org/10.1590/1413-81232018238.13652016 .
https://doi.org/10.1590/1413-81232018238... .

The prevalence of CMD was lower among individuals > 60 years old. This finding differs from other authors ⁶6. Silva PAS, Rocha SV, Santos LB, Santos CA, Amorim CR, Vilela ABA. Prevalência de transtornos mentais comuns e fatores associados entre idosos de um município do Brasil. Cien Saude Colet, 2018; 23(2): 639-646. https://doi.org/10.1590/1413-81232018232.12852016
https://doi.org/10.1590/1413-81232018232... , who found higher prevalence of CMD among older adults, with low schooling level and smokers. International studies in the general population show prevalence of CMD in older adults ranging from 32.4% in Ethiopia ⁴⁰40. Yimam K, Kebede Y, Azale T. Prevalence of Common Mental Disorders and Associated Factors among Adults in Kombolcha Town, Northeast Ethiopia. J Depress Anxiety, 2014; 1(7): S1: 007. http://dx.doi.org/10.4172/2167-1044.S1-007
http://dx.doi.org/10.4172/2167-1044.S1-0... to 51.8% in Denmark ⁴¹41. Soegaard HJ, Pedersen P. Prevalence of Common Mental Disorders among Incident Individuals on Long-Term Sickness Absence When Compensating for Non-Participation. Psychology 2012; 3(9A):818-824. http://dx.doi.org/10.4236/psych.2012.329124
http://dx.doi.org/10.4236/psych.2012.329... . In Brazil, the study conducted in Ibicuí-BA showed a 55.8% prevalence of mental disorders in older adults ⁶6. Silva PAS, Rocha SV, Santos LB, Santos CA, Amorim CR, Vilela ABA. Prevalência de transtornos mentais comuns e fatores associados entre idosos de um município do Brasil. Cien Saude Colet, 2018; 23(2): 639-646. https://doi.org/10.1590/1413-81232018232.12852016
https://doi.org/10.1590/1413-81232018232... and 29.7% in Campinas-SP ⁴²42. Borim FSA, Barros MBA, Botega NJ. Transtorno mental comum na população idosa: pesquisa de base populacional no Município de Campinas, São Paulo, Brasil. Cad Saude Publica, 2013; 29(7):1415-1426. https://doi.org/10.1590/S0102-311X2013000700015
https://doi.org/10.1590/S0102-311X201300... . There is an increasing gradient of CMD as age increases ³⁸38. Duran B, Sanders M, Skipper B, Waitzkin H, Malcoe LH, Paine S, Yager J Prevalence and correlates of mental disorders among Native American women in primary care. Am J Public Health, 2004; 94(1):71-77. https://doi.org/10.2105/AJPH.94.1.71
https://doi.org/10.2105/AJPH.94.1.71... , because many factors can contribute to this increase in the aging process, including the high presence of morbidities and disabilities, poor living conditions, stressful life events, social isolation and economic difficulties.

Although race and skin color were not associated with the outcome in the multivariate analysis, in cultural and social terms, Black people are still linked to vulnerabilities and the worst economic, schooling, working and housing conditions ⁴³43. Araújo EM, Costa MCN, Hogan VK, Araújo TM, Dias AB, Oliveira LA. The use of the variable of race/color within Public Health: possibilities and limits. Interface. 2009; 13(31): 383-94. https://doi.org/10.1590/S1414-32832009000400012
https://doi.org/10.1590/S1414-3283200900... . Besides, studies show racial disparities in access to treatment of mental disorders, in which the Black population has less access to mental health services ⁴⁴44. Alegría M, Chatterji P, Wells K, Cao Z, Chen C, Takeuchi D, Jackson J, Meng XL. Disparity in depression treatment among racial and ethnic minority populations in the United States. Psychiatr Serv. 2008; 59(11): 1264–1272. https://doi.org/10.1176/ps.2008.59.11.1264
https://doi.org/10.1176/ps.2008.59.11.12... , ⁴⁵45. Smolen JR, Araujo EM. Raça/cor da pele e transtornos mentais no Brasil: uma revisão sistemática. Ciênc. saúde colet. 2017; 22(12): 4021-4030 https://doi.org/10.1590/1413-812320172212.19782016
https://doi.org/10.1590/1413-81232017221... . We emphasize how ethnic-racial issues are scarcely addressed in health studies and few discussions on how discrimination and oppression affect mental health ⁴⁶46. Da Silva RA, de Araújo Menezes J. Os significados do uso de álcool entre jovens quilombolas. Revista Latinoamericana de Ciencias Sociales, Niñez y Juventud, 2016; 14(1): 493-504. .

Loss of production was a factor associated with CMD in our study. A study ⁴⁷47. Savary S, Willocquet L, Pethybridge SJ et al. A carga global de patógenos e pragas nas principais safras de alimentos. Nat Ecol Evol, 2019; 3(3): 430–439. https://doi.org/10.1038/s41559-018-0793-y
https://doi.org/10.1038/s41559-018-0793-... identified that losses in production due to climate or pests reduce crops by up to 40% worldwide, especially rice (from 25% to 41%), corn (from 20% to 41%), potatoes (from 8% to 21%) and soybeans (from 11% to 32%).

Climate is the main factor responsible for oscillations and frustrations of agricultural crops in Brazil. This dependence on rain conditions affects the Northeast region, in its semi-arid area, in which the municipality of Caicó is located. This piece of the Northeastern territory is formed by a set of spaces that are characterized by a negative water balance, caused by the mean annual precipitations < 800 mm, mean insolation of 2,800h/year, mean annual temperatures ranging from 23°C to 27°C, evaporation of 2,000mm/year and mean relative humidity of the air around 50% ⁴⁸48. Lucena J, Souza BI, Oliveira MM, Oliveira LJ. Análise da variabilidade da precipitação pluviométrica como subsídio para o planejamento agrícola em Caicó/RN. Revista brasileira de Climatologia, 2012; 10(1): 121-135. https://doi.org/10.5380/abclima.v10i1.30591
https://doi.org/10.5380/abclima.v10i1.30... .

In the Seridó region, the naturally difficult climatic conditions and the anthropic pressures such as extensive livestock farming, dry farming (practiced in the rainy months in the region) with inadequate cropping and techniques, extractive ceramics and mining industry result in degraded areas and reduce farmers’ adaptation to future climate change, which increases their vulnerability. All these factors negatively affect family agricultural production already weakened in this region ⁴⁹49. Andrade AJP, Silva NM, Souza CR. As percepções sobre as variações e mudanças climáticas e as estratégias de adaptação dos agricultores familiares do Seridó potiguar. Desenvolvimento e Meio Ambiente, 2014; 31: 77-96. http://dx.doi.org/10.5380/dma.v31i0.32955
http://dx.doi.org/10.5380/dma.v31i0.3295... .

In Northeastern municipalities, farmers enrolled in the Programa Nacional de Fortalecimento da Agricultura Familiar (PRONAF - National Program for Strengthening Family Agriculture) and who fit in the PRONAF-B credit line (annual income of up to R$ 20,000.00) have access to a credit program financed by the Banco do Nordeste of Brazil since 2005, the Programa de Microcrédito Rural Orientado e Acompanhado (Oriented and Accompanied Rural Microcredit Program), called Agroamigo ⁵⁰50. Pilon AA. Agroamigo e território: a evolução do programa de microcrédito rural orientado no estado do Rio Grande do Norte entre os anos de 2005 e 2014. 74f. Dissertação (Mestrado em Economia) – Centro de Ciências Sociais Aplicadas, Universidade Federal do Rio Grande do Norte, Natal, 2017. .

The producers’ financial difficulties increase in case of loss of production without the expected profit from that crop, being unable to pay off debts, bank loans or support their family, factors that directly affect the mental health of rural workers. Financial debts are related to many health problems, particularly mental health ⁵¹51. Malhotra C, Harding R, Teo I, Ozdemir S, Hoh GCH, Neo P, et al. Financial difficulties are associated with greater total pain and suffering among patients with advanced cancer: results from the COMPASS study. Supportive Care in Cancer volume, 2020; 28: 3781-3789. https://doi.org/10.1007/s00520-019-05208-y
https://doi.org/10.1007/s00520-019-05208... . In Caicó-RN, financing is only available for a part of the rural families despite most of them survive from agriculture, since most of these families lack agricultural implements for management and commercialize their production in agro-industries, directly to consumers and retailers ²⁹29. Lima PJP. Avaliação de transtornos mentais comuns em comunidades rurais em Atibaia/SP-Brasil. Cadernos Brasileiros de Saúde Mental, 2015; 7(15): 101-121. Available from: https://periodicos.ufsc.br/index.php/cbsm/article/view/68545
https://periodicos.ufsc.br/index.php/cbs... .

The land structure of Seridó is based on the great area destined to large properties, distributed to few buildings. The Eastern and Western Seridó of Rio Grande do Norte have the greatest number of large properties and municipalities with concentrated land structure, especially the municipality of Caicó ⁵²52. Refati DC, Lima RDCC, de Almeida AG, da Silva Neto CF, de Araújo Queiroz HA. A desertificação no Seridó do Rio Grande do Norte e da Paraíba: questão fundiária, pobreza rural e analfabetismo. Desenvolvimento e Meio Ambiente, 2020; 55: 697-720. http://dx.doi.org/10.5380/dma.v55i0.73346
http://dx.doi.org/10.5380/dma.v55i0.7334... . There are 9,970 family farming establishments in the Seridó region, which represents 80.6% of the agricultural properties in the region. However, these properties occupy only 24.2% of the total agricultural area ¹⁴14. Andrade AJP, Souza CR, Silva NM. A vulnerabilidade e a resiliência da agricultura familiar em regiões semiáridas: o caso do Seridó Potiguar. CAMPO-TERRITÓRIO: revista de geografia agrária, 2013; 8(15): 1-30. .

Associated with land concentration, the intense process of desertification that the Northeastern semi-arid is going through leads to soil degradation, reduction of agricultural and cattle productive capacity, reduction of agricultural and cattle income, and deterioration of the social conditions of the local population ⁵²52. Refati DC, Lima RDCC, de Almeida AG, da Silva Neto CF, de Araújo Queiroz HA. A desertificação no Seridó do Rio Grande do Norte e da Paraíba: questão fundiária, pobreza rural e analfabetismo. Desenvolvimento e Meio Ambiente, 2020; 55: 697-720. http://dx.doi.org/10.5380/dma.v55i0.73346
http://dx.doi.org/10.5380/dma.v55i0.7334... . Factors such as the reduced size of properties, lack of resources and technical assistance, and low schooling level limit the resilience of family farming. Thus, agricultural production is affected during droughts or floods. Farmers’ adaptation alternatives include: reduction of agricultural production, migration of young people to urban areas of the state and obtaining income off the property ¹⁴14. Andrade AJP, Souza CR, Silva NM. A vulnerabilidade e a resiliência da agricultura familiar em regiões semiáridas: o caso do Seridó Potiguar. CAMPO-TERRITÓRIO: revista de geografia agrária, 2013; 8(15): 1-30. .

The Country’s social indicators have improved in recent decades, especially in rural areas, such as the decrease in inequality, poverty and extreme poverty rates, increase in the per capita income and in housing, schooling, health and leisure. However, the situation is still alarming since, for example, one out of four Brazilian people living in the countryside is in a situation of extreme poverty ¹²12. Dimenstein M, Macedo JPS, Leite JDC, Silva Monique PR. Iniquidades Sociais e Saúde Mental no Meio Rural. Psico-USF, 2017; 22(3): 541-553. https://doi.org/10.1590/1413-82712017220313
https://doi.org/10.1590/1413-82712017220... .

Regarding alcohol intake, alcohol abuse was associated with a higher prevalence of CMD. Moderate alcohol consumption can have a positive psychological effect, relieving emotional distress and effective to deal with social and anxiety situations ⁵³53. Moreira RMM, Oliveira EN, Lopes RE, Oliveira LMV, Almeida PC, Aragão HL. Transtorno mental comum em usuários de substâncias psicoativas. Enfermagem em Foco, 2020; 11(1): 99-105. . However, mental disorders and alcohol abuse have a greater negative effect on more socioeconomically disadvantaged populations due to their situations of vulnerability and few health resources. In realities involving rural settlement areas in Brazil, the rural population is more vulnerable to conditions susceptible to develop CMDs and diseases related to alcohol abuse due to the harsh living and working conditions, poverty, social isolation and their low coverage of public services ⁵⁴54. Santos MVF, Campos MR, Fortes SLCL. Relação do uso de álcool e transtornos mentais comuns com a qualidade de vida de pacientes na atenção primária em saúde. Ciênc. saúde coletiva, 2019; 24(3): 1051-1063. https://doi.org/10.1590/1413-81232018243.01232017
https://doi.org/10.1590/1413-81232018243... .

Alcohol abuse is associated with an increase in the mortality and morbidity rate due to its potential to cause diseases and is related to loss of quality of life ⁵⁵55. Patel V, Kirkwood BR, Pednekar S, Weiss H, Mabey D. Risk factors for common mental disorders in women. Population-based longitudinal study. Br J Psychiatry 2006; 189(6):547-555. https://doi.org/10.1192/bjp.bp.106.022558
https://doi.org/10.1192/bjp.bp.106.02255... . A study ⁶6. Silva PAS, Rocha SV, Santos LB, Santos CA, Amorim CR, Vilela ABA. Prevalência de transtornos mentais comuns e fatores associados entre idosos de um município do Brasil. Cien Saude Colet, 2018; 23(2): 639-646. https://doi.org/10.1590/1413-81232018232.12852016
https://doi.org/10.1590/1413-81232018232... showed that the prevalence of CMD in older adults was higher among those who regularly consumed alcoholic beverages (61.5%), who were currently smoking (58.3%) and among those who had already smoked at some point in their lives (56.1%).

Although our study did not find a relationship between mental disorders and smoking habits, other studies indicate an association between them based on the action of tobacco on the neurotransmitter system, which influences the psychopathological condition and causes reactions, such as: emotional symptoms, behavior problems and relationship problems ⁵⁴54. Santos MVF, Campos MR, Fortes SLCL. Relação do uso de álcool e transtornos mentais comuns com a qualidade de vida de pacientes na atenção primária em saúde. Ciênc. saúde coletiva, 2019; 24(3): 1051-1063. https://doi.org/10.1590/1413-81232018243.01232017
https://doi.org/10.1590/1413-81232018243... . A longitudinal study conducted in India with 2,094 women aged between 18 and 45 years showed that smokers had an incidence of mental disorders four times higher than non-smokers ⁵⁵55. Patel V, Kirkwood BR, Pednekar S, Weiss H, Mabey D. Risk factors for common mental disorders in women. Population-based longitudinal study. Br J Psychiatry 2006; 189(6):547-555. https://doi.org/10.1192/bjp.bp.106.022558
https://doi.org/10.1192/bjp.bp.106.02255... . Besides, nicotine acts on the dysregulation in the hypothalamic-pituitary-adrenal axis and increases the action of cortisol in the brain, a change that is characteristic of depressive symptoms, therefore, smoking could cause greater susceptibility to develop CMD ²⁷27. Soares PSM, Meucci RD. Epidemiologia dos transtornos mentais comuns entre mulheres na zona rural de Rio Grande, RS, Brasil. Ciência & Saúde Coletiva, 2020; 25(8): 3087-3095. https://doi.org/10.1590/1413-81232020258.31582018
https://doi.org/10.1590/1413-81232020258... .

Our results must be cautiously evaluated due to the possible limitations of the cross-sectional study. Selection bias may have occurred, since the selected workers had to be affiliated with the local union at the time of the research. The instrument used in data collection, the SRQ-20, is another limitation, which was not self-applied. Most participants had difficulties to understand the questions asked, probably due to low schooling, forcing a greater participation of the researchers. These interventions may have caused information biases.

Our study suggests that CMDs are associated with the variables: gender, age group, self-assessment of health status, alcohol abuse, previous mental health treatment and loss of agricultural production. These findings may strengthen the discussion on the social determination of mental health, a debate that is still incipient among health teams and creators of health programs and policies. These results corroborate the literature, which shows that mental suffering among farmers and rural workers is a problem of great magnitude. Actions to improve living and working conditions can benefit the maintenance and strengthening of mental health conditions in this population.

In the context of the covid-19 pandemic, the population’s mental health conditions must be considered in face of the multiple reflexes that this pandemic has caused, significantly changing the mental health condition of the population worldwide ⁵⁶56. Silva HGN, Santos LES, Oliveira AKS. Efeitos da pandemia do novo Coronavírus na saúde mental de indivíduos e coletividades. J Nurs Health. 2020;10(Nº Espec):e20104007. https://doi.org/10.15210/jonah.v10i4.18677
https://doi.org/10.15210/jonah.v10i4.186... . Regarding the studied issue, these rural workers require special attention to their psychological demands that may worsen due to the pandemic, which urges the protection of the mental health of this vulnerable group.

Our findings emphasize the importance to strengthen the health care network, especially in psychosocial care services, aiming to develop preventive strategies for these groups and the decrease in mental illness rates. We concluded that the periodic monitoring of these farmers’ mental health is essential for early identification of problems that affect the workers’ health. Therefore, public administrators must propose strategies for monitoring and early intervention to minimize the symptoms and present manifestations, preventing the occurrence, emotional deterioration and psychological worsening.

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